FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4366772011> ?p ?o ?g. }

• W4366772011 endingPage "2212" @default.
• W4366772011 startingPage "2212" @default.
• W4366772011 abstract "The application of deep learning in remote sensing image classification has been paid more and more attention by industry and academia. However, manually designed remote sensing image classification models based on convolutional neural networks usually require sophisticated expert knowledge. Moreover, it is notoriously difficult to design a model with both high classification accuracy and few parameters. Recently, neural architecture search (NAS) has emerged as an effective method that can greatly reduce the heavy burden of manually designing models. However, it remains a challenge to search for a classification model with high classification accuracy and few parameters in the huge search space. To tackle this challenge, we propose TPENAS, a two-phase evolutionary neural architecture search framework, which optimizes the model using computational intelligence techniques in two search phases. In the first search phase, TPENAS searches for the optimal depth of the model. In the second search phase, TPENAS searches for the structure of the model from the perspective of the whole model. Experiments on three open benchmark datasets demonstrate that our proposed TPENAS outperforms the state-of-the-art baselines in both classification accuracy and reducing parameters." @default.
• W4366772011 created "2023-04-25" @default.
• W4366772011 creator A5007629182 @default.
• W4366772011 creator A5054957806 @default.
• W4366772011 creator A5056601955 @default.
• W4366772011 creator A5060765360 @default.
• W4366772011 creator A5074828414 @default.
• W4366772011 creator A5084900970 @default.
• W4366772011 date "2023-04-21" @default.
• W4366772011 modified "2023-09-25" @default.
• W4366772011 title "TPENAS: A Two-Phase Evolutionary Neural Architecture Search for Remote Sensing Image Classification" @default.
• W4366772011 cites W1606858007 @default.
• W4366772011 cites W1912954554 @default.
• W4366772011 cites W1953767411 @default.
• W4366772011 cites W1964069486 @default.
• W4366772011 cites W1965126626 @default.
• W4366772011 cites W1980038761 @default.
• W4366772011 cites W2047243114 @default.
• W4366772011 cites W2070813603 @default.
• W4366772011 cites W2072661909 @default.
• W4366772011 cites W2078478672 @default.
• W4366772011 cites W2086866337 @default.
• W4366772011 cites W2097117768 @default.
• W4366772011 cites W2194775991 @default.
• W4366772011 cites W2221448138 @default.
• W4366772011 cites W2567026239 @default.
• W4366772011 cites W2610884537 @default.
• W4366772011 cites W2618530766 @default.
• W4366772011 cites W2626107033 @default.
• W4366772011 cites W2762941833 @default.
• W4366772011 cites W2783165089 @default.
• W4366772011 cites W2791006446 @default.
• W4366772011 cites W2829067510 @default.
• W4366772011 cites W2889835342 @default.
• W4366772011 cites W2919352650 @default.
• W4366772011 cites W2954156245 @default.
• W4366772011 cites W2963446712 @default.
• W4366772011 cites W2963918968 @default.
• W4366772011 cites W2963946985 @default.
• W4366772011 cites W2964016673 @default.
• W4366772011 cites W2964081807 @default.
• W4366772011 cites W2974373385 @default.
• W4366772011 cites W2974770574 @default.
• W4366772011 cites W2981708954 @default.
• W4366772011 cites W2981748264 @default.
• W4366772011 cites W2996836954 @default.
• W4366772011 cites W3034202788 @default.
• W4366772011 cites W3037215700 @default.
• W4366772011 cites W3043257208 @default.
• W4366772011 cites W3086451439 @default.
• W4366772011 cites W3095319281 @default.
• W4366772011 cites W3103856189 @default.
• W4366772011 cites W3107893198 @default.
• W4366772011 cites W3118513496 @default.
• W4366772011 cites W3131096279 @default.
• W4366772011 cites W3157501241 @default.
• W4366772011 cites W3162343139 @default.
• W4366772011 cites W3187018989 @default.
• W4366772011 cites W3188304288 @default.
• W4366772011 cites W3213283212 @default.
• W4366772011 cites W4200571910 @default.
• W4366772011 cites W4206550078 @default.
• W4366772011 cites W4206554021 @default.
• W4366772011 cites W4213126894 @default.
• W4366772011 cites W4225771998 @default.
• W4366772011 cites W4229082219 @default.
• W4366772011 cites W4255158661 @default.
• W4366772011 cites W4285106784 @default.
• W4366772011 cites W4290712873 @default.
• W4366772011 cites W4309368611 @default.
• W4366772011 cites W4312443924 @default.
• W4366772011 cites W4312541757 @default.
• W4366772011 cites W4313244921 @default.
• W4366772011 cites W4313442266 @default.
• W4366772011 doi "https://doi.org/10.3390/rs15082212" @default.
• W4366772011 hasPublicationYear "2023" @default.
• W4366772011 type Work @default.
• W4366772011 citedByCount "1" @default.
• W4366772011 countsByYear W43667720112023 @default.
• W4366772011 crossrefType "journal-article" @default.
• W4366772011 hasAuthorship W4366772011A5007629182 @default.
• W4366772011 hasAuthorship W4366772011A5054957806 @default.
• W4366772011 hasAuthorship W4366772011A5056601955 @default.
• W4366772011 hasAuthorship W4366772011A5060765360 @default.
• W4366772011 hasAuthorship W4366772011A5074828414 @default.
• W4366772011 hasAuthorship W4366772011A5084900970 @default.
• W4366772011 hasBestOaLocation W43667720111 @default.
• W4366772011 hasConcept C115961682 @default.
• W4366772011 hasConcept C119857082 @default.
• W4366772011 hasConcept C124101348 @default.
• W4366772011 hasConcept C13280743 @default.
• W4366772011 hasConcept C153180895 @default.
• W4366772011 hasConcept C154945302 @default.
• W4366772011 hasConcept C159149176 @default.
• W4366772011 hasConcept C185798385 @default.
• W4366772011 hasConcept C205649164 @default.
• W4366772011 hasConcept C41008148 @default.
• W4366772011 hasConcept C50644808 @default.

• next